Individual behavior in learning of an artificial grammar

Memory and Cognition

Volumn 39, Issue 3, 2011, Pages 491-501

  Zimmerer, Vitor C ^a   Cowell, Patricia E ^b   Varley, Rosemary A ^b  

^a HEINRICH HEINE UNIVERSITY   (Germany)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Artificial grammar learning; Individual behavior; Modality; Syntax

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; ATTENTION; COMPREHENSION; CONCEPT FORMATION; DECISION MAKING; FEMALE; HUMAN; INDIVIDUALITY; LEARNING; LINGUISTICS; MALE; MIDDLE AGED; PROBLEM SOLVING; READING; SEMANTICS;

ADOLESCENT; ADULT; ATTENTION; COMPREHENSION; CONCEPT FORMATION; FEMALE; HUMANS; INDIVIDUALITY; JUDGMENT; MALE; MIDDLE AGED; PROBLEM SOLVING; PSYCHOLINGUISTICS; READING; SEMANTICS; VERBAL LEARNING; YOUNG ADULT;

EID: 79960062344     PISSN: 0090502X     EISSN: 15325946     Source Type: Journal    
DOI: 10.3758/s13421-010-0039-y     Document Type: Article

References (37)

1. Bahlmann, J., Schubotz, R. I., & Friederici, A. D. (2008). Hierarchical artificial gprocessing engages Broca's area. Neuroimage, 42, 525-534.
2. Caplan, D., Baker, C., & Dehaut, F. (1985). Syntactic determinants of sentence comprehension in aphasia. Cognition, 21, 117-175.
3. Christiansen, M. H., & Chater, N. (1999). Toward a connectionist model of recursion in human linguistic performance. Cognitive Science, 23, 157-205.
4. Cohen, M. C. (1991). Introduction to computer theory (Rev. ed.). New York: Wiley.
5. de Vries, M. H., Monaghan, P., Knecht, S., & Zwitserlood, P. (2008). Syntactic structure and artificial grammar learning: the learnability of embedded hierarchicals. Cognition, 107, 763-774.
6. Dulany, D. E., Carlson, R. A., & Dewey, G. I. (1984). A case of syntactical learning and judgment: how conscious and how abstract? Journal of Experimental Psychology: General, 113, 541-555.
7. Fitch, W. T., & Hauser, M. D. (2004). Computational constraints on syntactic processing in a nonhuman primate. Science, 303, 377-380.
8. Friederici, A. D. (2004). Processing local transitions versus long-distance syntactic hierarchies. Trends in Cognitive Sciences, 8, 245-247.
9. Gentner, T. Q., Fenn, K. M., Margoliash, D., & Nusbaum, H. C. (2006). Recursive syntactic pattern learning by songbirds. Nature, 440, 1204-1207.
10. Goldberg, A. E. (2006). Constructions at work. The nature of generalization in language. Oxford: Oxford University Press.
11. Hauser, M. D., Barner, D., & O'Donnell, T. (2007). Evolutionary linguistics: a new look at an old landscape. Language Learning and Development, 3, 101-132.
12. Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002). The faculty of language: what is It, who has it, and how did it evolve? Science, 298, 1569-1579.
13. Hauser, M. D., Newport, E. L., & Aslin, R. N. (2001). Segmentation of the speech stream in a non-human primate: statistical learning in cotton-top tamarins. Cognition, 78, B53.
14. Herbranson, W. T., & Shimp, C. P. (2003). "Artificial grammar learning" in pigeons: a preliminary analysis. Learning & Behavior, 31, 98-106.
15. Hochmann, J.-R., Azadpour, M., & Mehler, J. (2008). Do humans really learn AnBn artificial grammars from exemplars? Cognitive Science, 32, 1021-1036.
16. Hoen, M., Golembiowski, M., Guyot, E., Deprez, V., Caplan, D., & Dominey, P. F. (2003). Training with cognitive sequences improves syntactic comprehension in agrammatic aphasics. Neuro Report, 14, 495-499.
17. Jansen, B. R. J., Raijmakers, M. E. J., & Visser, I. (2007). Rule transition on the balance scale task: a case study in belief change. Synthese, 155, 211-236.
18. Marcus, G. F., Vijayan, S., Bandi Rao, S., & Vishton, P. M. (1999). Rule learning by seven-month-old infants. Science, 283, 77-80.
19. Perruchet, P., & Pacteau, C. (1990). Synthetic grammar learning: implicit rule abstraction or explicit fragmentary knowledge? Journal of Experimental Psychology: General, 119, 264-275.
20. Perruchet, P., & Rey, A. (2005). Does the mastery of center-embedded linguistic structures distinguish humans from nonhuman primates? Psychonomic Bulletin & Review, 12, 307-313.
21. Petersson, K. M., Forkstam, C., & Ingvar, M. (2004). Artificial syntactic violations activate Broca's region. Cognitive Science, 28, 383-407.
22. Pinker, S., & Jackendoff, R. (2005). The faculty of language: what's special about it? Cognition, 95, 201-236.
23. Pothos, E. M. (2007). Theories of artificial grammar learning. Psychological Bulletin, 133, 227-244.
24. Pothos, E. M., & Bailey, T. M. (2000). The role of similarity in artificial grammar learning. Journal of Experimental Psychology. Learning, Memory, and Cognition, 26, 847-862.
25. Pothos, E. M., Chater, N., & Ziori, E. (2006). Does stimuli appearance affect learning? The American Journal of Psychology, 119, 277-301.
26. Reber, A. S. (1967). Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal Behaviour, 6, 855-863.
27. Redington, M., & Chater, N. (1996). Transfer in artificial grammar learning: a reevaluation. Journal of Experimental Psychology: General, 125, 123-138.
28. Rüsseler, J., Gerth, I., & Münte, T. (2006). Implicit learning is intact in adult developmental dyslexic readers: evidence from the serial reaction time task and artificial grammar learning. Journal of Clinical and Experimental Neuropsychology, 28, 808-827.
29. Saffran, J. R. (1996). Statistical learning by 8-month-old infants. Science, 274, 1926-1928.
30. Saffran, J. R., Hauser, M. D., Seibel, R., Kapfhamer, J., Tsao, F., & Cushman, F. (2008). Grammatical pattern learning by human infants and cotton-top tamarin monkeys. Cognition, 107, 479-500.
31. Saffran, J. R., Johnson, E. K., Aslin, R. N., & Newport, E. L. (1999). Statistical learning of tone sequences by human infants and adults. Cognition, 70, 27-52.
32. Smith, J., Siegert, R. J., McDowall, J., & Abernethy, D. (2001). Preserved implicit learning on both the serial reaction time task and artificial grammar in patients with Parkinson's disease. Brain and Cognition, 45, 378-391.
33. Tomasello, M. (2003). Constructing a language: A usage-based theory of language acquisition. Cambridge, MA: Harvard University Press.
34. Uddén, J., Folia, V., Forkstam, C., Ingvar, M., Fernandez, G., Overeem, S., et al. (2008). The inferior frontal cortex in artificialsyntax processing: an rTMS study. Brain Research, 1224, 69-78.
35. van der Maas, H. L. J., & Straatemeier, M. (2008). How to detect cognitive strategies: commentary on 'Differentiation and integration: Guiding principles for analyzing cognitive change'. Developmental Science, 11, 449-453.
36. Visser, I., Raijmakers, M. E. J., & Pothos, E. M. (2009). Individual strategies in artificial grammar learning. The American Journal of Psychology, 122, 293-397.
37. Zimmerer, V. C., & Varley, R. A. (2010). Recursion in severe agrammatism. In H. van der Hulst (Ed.), Recursion and human language (pp. 393-406). Berlin: Mouton de Gruyter.